A Reproducible Runtime Performance Benchmark Across Ruby, Go, Python, and Node.js (via Background Job Execution)

Ole Oelerich

doi:10.5281/zenodo.20675025

June 13, 2026Open Access

A Reproducible Runtime Performance Benchmark Across Ruby, Go, Python, and Node.js (via Background Job Execution)

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Key Points

To establish a benchmark for background job performance across Ruby, Go, Python, and Node.js.
Developed a multi-language benchmark harness using Docker Compose.
Implemented background job workers for each programming language.
Generated performance artifacts like CSV and SVG for analysis.
Performance metrics show varying efficiency across languages depending on workload size.

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Implication

Reproducible benchmark compares background job efficiency across multiple programming languages, suggesting performance insights.

Abstract

Reproducible multi-language benchmark harness comparing Ruby, Go, Python, and Node.js background job performance across varying workload sizes. Includes Docker Compose orchestration, all four worker implementations, generated CSV/SVG artifacts, and a machine-readable rerun acceptance policy. Artifact repository: https://github.com/a11ejandro/language-performance-benchmark-harness

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Ole Oelerich (2026) studied this question.

synapsesocial.com/papers/6a2f982ba1cfeec49082934b https://doi.org/10.5281/zenodo.20675025

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A Reproducible Runtime Performance Benchmark Across Ruby, Go, Python, and Node.js (via Background Job Execution)

Key Points

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Implication

Abstract

Discussion

Cite This Study

A Reproducible Runtime Performance Benchmark Across Ruby, Go, Python, and Node.js (via Background Job Execution)

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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